visualize.gamma.fits: Plotting function to visualize simulated mean values from...

In heiniglab/scPower: Experimental design framework for scRNAseq population studies (eQTL and DE)

Plotting function to visualize simulated mean values from gamma distribution compare to mean values used for the fitting

Description

Plotting function to visualize simulated mean values from gamma distribution compare to mean values used for the fitting

Usage

visualize.gamma.fits(
  mean.vals,
  gamma.parameters,
  nGenes = 21000,
  lower.dist = 1e-05,
  zero.pos = 1e-06,
  num.bins = 30
)

Arguments

mean.vals	Vector with mean values used for fitting the gamma distribution
gamma.parameters	Parameters of the gamma distribution (already filtered for the cell type of interest)
nGenes	number of genes used for fitting the gamma function (parameter num.genes.kept in the function mixed.gamma.estimation)
lower.dist	Lowest value which should be shown in the histogram
zero.pos	Position where the zero component should be plotted at (needs to be smaller than lower.dist)
num.bins	Number of bins in the histogram

Value

ggplot object of a histogram with logarithmized x axis

heiniglab/scPower documentation built on Jan. 9, 2025, 12:13 p.m.